Spectral clustering for customer phase identification using AMI voltage timeseries L Blakely, MJ Reno, W Feng 2019 IEEE Power and Energy Conference at Illinois (PECI), 1-7, 2019 | 61 | 2019 |
A deep neural network approach for behind-the-meter residential PV size, tilt and azimuth estimation K Mason, MJ Reno, L Blakely, S Vejdan, S Grijalva Solar Energy 196, 260-269, 2020 | 60 | 2020 |
Perspectives on the integration between first-principles and data-driven modeling W Bradley, J Kim, Z Kilwein, L Blakely, M Eydenberg, J Jalvin, C Laird, ... Computers & Chemical Engineering 166, 107898, 2022 | 45 | 2022 |
Identifying common errors in distribution system models L Blakely, MJ Reno, J Peppanen 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC), 3132-3139, 2019 | 37 | 2019 |
930 berg, Jordan Jalvin, Carl Laird, and Fani Boukouvala W Bradley, J Kim, Z Kilwein, L Blakely, M Eyden Perspectives on the integration between first-principles and data-driven …, 2022 | 28 | 2022 |
Assessment of measurement-based phase identification methods F Therrien, L Blakely, MJ Reno IEEE Open Access Journal of Power and Energy 8, 128-137, 2021 | 28 | 2021 |
Phase identification using co‐association matrix ensemble clustering L Blakely, MJ Reno IET Smart Grid 3 (4), 490-499, 2020 | 28 | 2020 |
AMI data quality and collection method considerations for improving the accuracy of distribution models L Blakely, MJ Reno, K Ashok 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC), 2045-2052, 2019 | 28 | 2019 |
Systematic study of data requirements and AMI capabilities for smart meter analytics K Ashok, MJ Reno, L Blakely, D Divan 2019 IEEE 7th International Conference on Smart Energy Grid Engineering …, 2019 | 23 | 2019 |
Identifying errors in service transformer connections L Blakely, MJ Reno 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 14 | 2020 |
Estimation of pv location in distribution systems based on voltage sensitivities S Grijalva, AU Khan, JS Mbeleg, C Gomez-Peces, MJ Reno, L Blakely 2020 52nd North American Power Symposium (NAPS), 1-6, 2021 | 13 | 2021 |
Identification and correction of errors in pairing AMI meters and transformers L Blakely, MJ Reno 2021 IEEE Power and Energy Conference at Illinois (PECI), 1-8, 2021 | 13 | 2021 |
Decision tree ensemble machine learning for rapid QSTS simulations L Blakely, MJ Reno, RJ Broderick 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2018 | 12 | 2018 |
Machine learning for rapid qsts simulations using neural networks MJ Reno, RJ Broderick, L Blakely 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), 1573-1578, 2017 | 12 | 2017 |
Improving Behind-the-Meter PV Impact Studies with Data-Driven Modeling and Analysis. JA Azzolini, S Talkington, M Reno, S Grijalva, L Blakely, D Pinney, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | 10 | 2022 |
Imofi-intelligent model fidelity: Physics-based data-driven grid modeling to accelerate accurate pv integration final report M Reno, L Blakely, RD Trevizan, B Pena, M Lave, J Azzolini, J Yusuf, ... United States, 2022 | 7 | 2022 |
Estimation of PV location based on voltage sensitivities in distribution systems with discrete voltage regulation equipment C Gómez-Peces, S Grijalva, MJ Reno, L Blakely 2021 IEEE Madrid PowerTech, 1-6, 2021 | 7 | 2021 |
Evaluation and comparison of machine learning techniques for rapid qsts simulations L Blakely, MJ Reno, RJ Broderick Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018 | 6 | 2018 |
Parameter tuning analysis for phase identification algorithms in distribution system model calibration BD Pena, L Blakely, MJ Reno 2021 IEEE Kansas Power and Energy Conference (KPEC), 1-6, 2021 | 5 | 2021 |
Rapid QSTS Simulations for High-Resolution Comprehensive Assessment of Distributed PV RJ Broderick, MJ Reno, MS Lave, JA Azzolini, L Blakely, J Galtieri, ... Sandia National Lab.(SNL-CA), Livermore, CA (United States); Sandia National …, 2021 | 5 | 2021 |